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Computer Science, Minor to Bioinformatics and Computational Biology, M.S. Accelerated Program

Saint Louis University's computer science minor to bioinformatics and computational biology M.S. accelerated program allows a SLU student to complete both a minor in computer science and a Master of Science in Bioinformatics and Computational Biology.

Students may choose to pursue a minor in computer science in addition to their chosen bachelor's degree major.

For additional information, see the catalog entries for the following SLU programs:

 
 

Computer Science, Minor

Bioinformatics and Computational Biology, M.S.

Students who want to apply to this accelerated minor to master's program should have completed at least 75 credits at the time of application and must have already completed or be enrolled in CSCI 2100 Data Structures.

Students must have a cumulative grade point average (GPA) of 3.00 at SLU and must have received grades of "B" or better in all CSCI courses thus far. To apply, students must submit a personal statement and arrange for two letters of recommendation.

Non-Course Requirements

All Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program. 

Continuation Standards

Students must maintain a cumulative GPA of at least 3.00 and a GPA of at least 3.00 in their computer science coursework. 

Students who drop below that GPA while in the accelerated program will be placed on a one-semester probationary period before being dismissed from the accelerated program. 

Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.  

Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.

This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.

Plan of Study Grid
Year One
FallCredits
Courses for major and core 15
 Credits15
Spring
Courses for major and core 15
 Credits15
Year Two
Fall
Courses for major and core 12
MATH 1510 Calculus I 4
 Credits16
Spring
CSCI 10xxIntroduction to Computer Science 3
MATH 1520 Calculus II 4
Courses for major and core 9
 Credits16
Year Three
Fall
CSCI 1300 Introduction to Object-Oriented Programming 4
MATH 1660 Discrete Mathematics 3
Courses for major and core 9
 Credits16
Spring
CSCI 2100 Data Structures 4
Courses for major and core 12
 Credits16
Year Four
Fall
CSCI 5030 Principles of Software Development 3
Courses for major and core 12
 Credits15
Spring
CSCI 5300 Software Engineering 3
Courses for major and core 12
 Credits15
Year Five
Fall
CSCI 5050 Computing and Society 3
Software Engineering ElectiveSoftware Engineering courses numbered CSCI5300-5399 3
Software Engineering ElectiveSoftware Engineering courses numbered CSCI5300-5399 3
CSCI Graduate ElectiveThe general electives may include additional selections from the Software Engineering category 3
 Credits12
Spring
Software Engineering ElectiveSoftware Engineering courses numbered CSCI5300-5399 3
Graduate Elective 3
Graduate Elective 3
CSCI 5960 Software Engineering Capstone Project 3
 Credits12
 Total Credits148

Introduction to Computer Science

CSCI 1010
Introduction to Computer Science: Principles
CSCI 1020
Introduction to Computer Science: Bioinformatics
CSCI 1025
Introduction to Computer Science: Cybersecurity
CSCI 1030
Introduction to Computer Science: Game Design
CSCI 1040
Introduction to Computer Science: Mobile Computing
CSCI 1050
Introduction to Computer Science: Multimedia
CSCI 1060
Introduction to Computer Science: Scientific Programming
CSCI 1070
Introduction to Computer Science: Taming Big Data
CSCI 1080
Introduction to Computer Science: World Wide Web
CSCI 1090
Introduction to Computer Science: Special Topics
With permission, a computing-intensive course from another discipline may be substituted. Examples of such courses include:
BME 2000
Biomedical Engineering Computing
CVNG 1500
Civil Engineering Computing
STAT 3850
Foundation of Statistics

Program Notes

Internship with Industry

Students may apply at most three credits of  CSCI 5910 Internship with Industry (1-3 cr) toward the degree requirements.